Individual skill
licensing-record-review
Analyze licensing-environment records for schema-strict licensing decisions. Use when a task asks Codex to review contractor application batches, restricted liquor-license transfers or renewals, or alcohol renewal manual-review queues using policy and case-record endpoints, then return JSON decisions, risk codes, verification gaps, monitoring plans, ranked queues, and summaries.
experiments/codex_gpt5_5_xhigh/reports/skills/task_group_019/self/self_attempt_02/SKILL.md
Source commit 5082a777379156a048881e94940d640702e5e09a
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- Last checked
- Nov 6, 2026
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- Repository last updated
- Oct 29, 2026
- License
- Apache-2.0
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SKILL.mdcore · 11,373 bytes
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# Licensing Record Review
## Core Workflow
1. Read the prompt, environment-access instructions, and the full answer template before fetching records.
2. Extract target IDs, location IDs, review dates, boundary dates, queue size, required top-level keys, enum values, ordering rules, and summary requirements.
3. Use only the endpoints and SQL access authorized by the environment instructions. Do not browse the web for licensing facts.
4. Fetch all relevant policy and record endpoints for the target family. Parse nested JSON fields such as `details_json` and `controls_json` with a JSON parser.
5. Build target-indexed record maps, then evaluate each target against the current policy baseline and the answer template's allowed codes.
6. Treat missing expected records as evidence when the schema asks about coverage, verification, or review gaps.
7. Return only valid JSON conforming to the template. Use empty arrays for no applicable codes and never add prose, citations, comments, or extra keys.
## Data Handling